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AI for Industrial Fluid Mechanics Industrial tomography generates high-frequency electrical and vibrational signals that encode the dynamics of complex fluid–structure interactions. However, current AI
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-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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to understanding fluid, material, and atmospheric dynamics, and mechanical, electrical, atomic and sub-atomic structures and processes. Competent in archiving, retrieving and exceptions handling with the PACS system
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of flows through composite and/or porous structures. • Interaction of fluids with functional materials (e.g., composite materials, active or multiphase media). Publications related to analytical and
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fluids Structure-property relationships linking molecular interactions to macroscopic behavior Integration of thermodynamic theory with molecular simulations, quantum chemical calculations, and
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fluids Structure-property relationships linking molecular interactions to macroscopic behavior Integration of thermodynamic theory with molecular simulations, quantum chemical calculations, and
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fluid-structure and durability simulations in cardiovascular modelling and medical device design. Stochastic Synthesis & Multimodal Data Fusion: Engineering robust frameworks for merging disparate data
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of the anterior chamber, the aqueous fluid, and the drainage through the trabecular meshwork. Has an understanding of how intraocular pressure can rise when a disturbance or malfunction of these structures occur
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial